David Teten

SEPTEMBER 23, 2017

Private equity and venture capital investors are copying our sisters in the hedge fund and mutual fund world: we’re trying to automate more of our job. Advances in machine learning, specifically natural language processing, have made generating these baseline, aggregate datasets possible, at scale, with high accuracy.

Private Equity 60

Private Equity Venture Capital Equity Technical Review 60

David Teten

DECEMBER 3, 2019

Private equity and venture capital investors are copying our sisters in the hedge fund world: we’re trying to automate more of our job. . Close to 80% responded that manual processes, such as tracking down support, preparing reports and pulling data from different sources, are the biggest pain points they face in the valuation process.

Technical Review 78

Technical Review Software Review Analytics Private Equity 78

David Teten

NOVEMBER 15, 2013

At my firm, ff Venture Capital, we’re trying our part to rethink how the industry works, and also actively looking for opportunities to invest in companies creatively disrupting this sector, e.g., our portfolio companies Addepar and Indiegogo. In aggregate, angels are significant investors.

Management 114

Management Pre-Money Valuation Venture Capital New Hampshire 114

Professor VC

JANUARY 17, 2008

One of my comments was that we would likely see more institutionalization of angel groups and syndication of deals among groups. While currently free to angel groups, their business model revolves around aggregating the angel investment data. Another comment which probably deserves more discussion is around valuation.

Pre-Money Valuation 28

Pre-Money Valuation Angel Investor Angel Groups Valuation 28